1. The teaching system of data science and big data technology covers core theories and technologies such as the discovery, processing, operation and application of big data. Specific courses include: mathematical analysis, analytic geometry, advanced algebra, ordinary differential equations, mathematical modeling, mathematical statistics and other mathematical professional courses. And introduction to big data, big data storage and management, big data mining, machine learning, artificial intelligence foundation, Python programming, statistical learning, neural network and deep learning methods, multimedia information processing, data visualization technology, intelligent computing technology, distributed and parallel computing, cloud computing and data security, database principles and applications, algorithm design and analysis, advanced language programming, optimization theory and methods, etc.

2. Employment direction of data science and big data technology. Big data system architect: big data platform construction, system design, infrastructure. Big data system analyst: Facing the actual industry field, using big data technology for data security life cycle management, analysis and application. Hadoop development engineer: solving the problem of big data storage. Data analyst.